Fix: use k instead of k_nearest_neighbors in Azure Search vector queries

corradopignato · corradopignato · commit 6419e0b8ca73 · 2026-01-21T14:37:23.000+01:00
diff --git a/python/packages/azure-ai-search/agent_framework_azure_ai_search/_search_provider.py b/python/packages/azure-ai-search/agent_framework_azure_ai_search/_search_provider.py
@@ -712,7 +712,7 @@ async def _semantic_search(self, query: str) -> list[str]:
                 vector_queries = [
                     VectorizableTextQuery(
                         text=query,
-                        k_nearest_neighbors=vector_k,
+                        k=vector_k,
                         fields=self.vector_field_name,
                     )
                 ]
@@ -722,7 +722,7 @@ async def _semantic_search(self, query: str) -> list[str]:
                 vector_queries = [
                     VectorizedQuery(
                         vector=query_vector,
-                        k_nearest_neighbors=vector_k,
+                        k=vector_k,
                         fields=self.vector_field_name,
                     )
                 ]

Original file line number	Diff line number	Diff line change
`@@ -712,7 +712,7 @@ async def _semantic_search(self, query: str) -> list[str]:`
`712`	`712`	`vector_queries = [`
`713`	`713`	`VectorizableTextQuery(`
`714`	`714`	`text=query,`
`715`		`- k_nearest_neighbors=vector_k,`
	`715`	`+ k=vector_k,`
`716`	`716`	`fields=self.vector_field_name,`
`717`	`717`	`)`
`718`	`718`	`]`
`@@ -722,7 +722,7 @@ async def _semantic_search(self, query: str) -> list[str]:`
`722`	`722`	`vector_queries = [`
`723`	`723`	`VectorizedQuery(`
`724`	`724`	`vector=query_vector,`
`725`		`- k_nearest_neighbors=vector_k,`
	`725`	`+ k=vector_k,`
`726`	`726`	`fields=self.vector_field_name,`
`727`	`727`	`)`
`728`	`728`	`]`